voice AI platform
AI
ForwardDeployedEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Forward Deployed Engineer at voice AI platform. Skills: Voice AI, Deployment, Client-facing. Lead deployment lifecycle. Serve as technical contact”
What You'll Achieve.
Keep solutions running at scale; Surface issues before client problems; Ensure secure and stable production operation; Enable proactive optimization
Industry & Context.
Troubleshooting escalations
Availability during PST business hours
What They're Looking For.
Must Have
2–5 years in a client-facing technical role, Hands-on Python experience in a production context, Experience with VoIP protocols (SIP, RTP) and telephony infrastructure, Familiarity with Docker and Kubernetes for containerized deployments, Comfortable owning complex enterprise stakeholder relationships independently, Native-level English fluency, Availability during PST business hours
Nice to Have
Background in AI, NLP, or conversational systems, Experience at a CCaaS, CPaaS, or contact center technology company, Exposure to enterprise API integrations and backend service architecture
What You'll Do.
Lead deployment lifecycle
Serve as technical contact
Build monitoring infrastructure
Own telephony integrations
Translate client requirements
Drive data-informed approach
How You'll Work.
Team & Collaboration
Work with product; Work with engineering
Communication Scope
English fluency
Full Job Description
The Opportunity A fast-growing voice AI platform serving enterprise customers is building out its deployment team to own the technical side of client rollouts end-to-end. You'll be the primary technical contact for major accounts, taking AI-powered voice solutions from configuration to production and keeping them running at scale. If you're an engineer who wants real client ownership, not just internal tickets, this is where that happens. What You'll Own - Lead the full deployment lifecycle for enterprise voice AI integrations, from initial configuration through production go-live and ongoing reliability - Serve as the primary technical contact for a portfolio of enterprise clients, running architecture discussions, troubleshooting escalations, and owning system health - Build and maintain monitoring infrastructure, dashboards, and alerting systems that surface issues before they become client problems - Own telephony integrations across SIP, RTP, and enterprise backend systems, ensuring secure and stable production operation - Translate client requirements into scalable solutions within platform constraints, and bring patterns back to product and engineering to close gaps - Drive a data-informed approach to deployments by designing logging and analytics systems that enable proactive optimization What We're Looking For - 2–5 years in a client-facing technical role: solutions engineering, technical consulting, or deployment/implementation - Hands-on Python experience in a production context - Experience with VoIP protocols (SIP, RTP) and telephony infrastructure - Familiarity with Docker and Kubernetes for containerized deployments - Comfortable owning complex enterprise stakeholder relationships independently - Native-level English fluency - Availability during PST business hours (full overlap required) Nice to Have - Background in AI, NLP, or conversational systems - Experience at a CCaaS, CPaaS, or contact center technology company - Exposure to enterprise API int
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